Meat color recognition using machine vision
New technologies are being developed to give an ease to the human in a variety of different field each and every day. Food industry is the key of development that led to the rise of human civilization. The development of food industry dealt with the husbandry of domesticated animal and plants...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2470/1/24p%20VORAVIT%20NAI%20CHIAN.pdf |
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| Summary: | New technologies are being developed to give an ease to the human in a variety
of different field each and every day. Food industry is the key of development that led
to the rise of human civilization. The development of food industry dealt with the
husbandry of domesticated animal and plants creating food surpluses that enabled the
development of more densely populated and stratified societies. The study of food is
very important that improves the quality of human's life. When it comes to classify and
grade a meat, the color of fresh meat is a sensory indicator of which affects the
consumers behavior, especially the consistency of meat color and musculature. Other
factors that influence consumers purchasing include security, nutrition and taste. There
has been no report that grades the meat freshness in the process of meat delivery. Most
of the meat freshness is grading manually by using the human eyesight at the meat's
color and quantity of fats. A parameter to show the freshness of meat has only been
analyzed manually using a human's eyes. This is some kind of difficult method when
making a right decision whether the meat is fresh or not. In order to overcome this
problem, meat grading method has been studied to show the mathematical calculation
on the change of color hue, saturation, and intensity (HSI) values. This study focuses on
grading system design that helps to characterize the meat freshness according to its
color. Using a MATLAB Graphical User Interface (GUI) program, it can analyzes the
color of the meat that being inspected. The theory of this program includes the
calculation of the mean values and histograms, and the final result. This system is
capable of classifying meat freshness. |
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